ARTIFICIAL INTELLIGENCE AND SPECIFICATION WRITING IN ARCHITECTURAL EDUCATION: A FRAMEWORK FOR RESPONSIBLE AI INTEGRATION

Abstract

Generative artificial intelligence (AI) is rapidly changing how architectural knowledge is created, communicated, and taught. Yet its role in teaching technical specification writing, one of the most critical forms of professional communication in architecture, has received little attention. Specifications translate design intentions into precise, legally binding instructions governing materials, standards, and construction performance, and so demand accuracy, technical knowledge, and professional responsibility. This paper proposes a conceptual framework, AI-Integrated Specification Writing (AISW), for integrating AI into specification-writing instruction in architectural education. Adapted from an existing AI mentoring model, the framework follows a three-stage design, application, and evaluation structure, modified to the procedural, technical, and regulatory demands of specification pedagogy. It positions AI as a supportive learning tool within instructor-guided, standards-based activities, while addressing concerns around ethics, regulation, and academic integrity. The central argument is that effective AI use in specification-writing education depends less on the sophistication of the technology than on thoughtful instructional design, sound institutional policy, and the development of students' professional judgment. As a conceptual, literature-based framework, its claims are necessarily preliminary; empirical testing of AISW in classroom settings is identified as the paper's central limitation. The paper closes by outlining implications for curriculum development, assessment practices, and future research.